New York, NY, Remote
November 25, 2021
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THE COMPANY
FEVO is dedicated to changing the way e-commerce works. Our white-label solution enables brands to make any purchase shareable. When a customer transacts, The Social Cart™ opens seamlessly on page so they can share their favorite selections, invite friends, and purchase together in just a few clicks. The checkout flow becomes a social experience, a space for groups to connect and communities to form. Brands capture more data, while building their own social graphs and identifying valuable customers - all on the brand's site with one line of code. Our dynamic team spans the globe, all sharing the vision of revolutionizing how we buy.
WHAT YOU WILL DO:
- Apply sophisticated computational, statistical, and modeling techniques to support decision-making and to drive KPI improvement across FEVO; with techniques including A/B and multivariate testing, predictive analysis, data mining, marketing mix modeling, attribution, incrementality, acquisition and churn analysis
- Evaluate and recommend innovative new opportunities and methodologies that segment and target audience in new ways and/or uncover new insights about the effectiveness any promotional activity to our audience by partnering with internal and external teams
- Design and execute appropriate data models by compiling data from multiple sources, and by working closely with stakeholders across FEVO
- Serve as an expert within the FEVO team on statistical principles
- Participate in creating clear and well-structured analytical plans that play a critical part in shaping the FEVO’s data infrastructure
- Work closely with product managers and other stakeholders to prepare and create business requirements along with reports for review by senior management
- Build and operationalize processes that ensure efficient and timely data-loading, maintaining accuracy and relevance of data used within FEVO’s business segments
- Have excellent writing and interpersonal skills to actively participate in strategic planning and day-to-day activities across the organization
WHAT YOU WILL BRING:
- Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related quantitative field of study
- Minimum 2-5+ years of previous experience in a Data Scientist role
- Proficient in writing and optimizing SQL to handle extremely large datasets
- Proficiency and direct experience with one or more major data visualization tools including DOMO/Tableau/Power BI etc.
- Proven expertise in statistical principles
- Excellent written/verbal communication and interpersonal skills, and an ability to effectively communicate across multiple teams
- Proven problem-solving skills, project management skills, attention to detail, ability to influence others, and exceptional organizational skills
- Familiarity with and understanding of digital marketing, digital media and technologies a plus
WHAT'S IN IT FOR YOU:
- Stock option program
- Robust insurance coverage
- 6 months paid parenthood leave
- 2 weeks paw-ternity leave
- Unlimited PTO
- NYC HQ in the heart of Meatpacking District
- Flexible work location (work remotely, in NYC HQ, or hybrid approach)
- Complimentary Wellness programs
- Abundant FEVO swag
FEVO provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
To Staffing and Recruiting Agencies: Our company does not accept unsolicited CVs or applications from agencies. We are not responsible for any fees related to unsolicited CVs or applications and explicitly reserve its right to contact candidates presented in such unsolicited CV or application.
